Dataset statistics
| Number of variables | 14 |
|---|---|
| Number of observations | 715 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 155.9 KiB |
| Average record size in memory | 223.3 B |
Variable types
| Text | 1 |
|---|---|
| Numeric | 10 |
| Categorical | 3 |
AveRPO is highly overall correlated with AveRPW and 2 other fields | High correlation |
AveRPW is highly overall correlated with AveRPO and 3 other fields | High correlation |
HS is highly overall correlated with AveRPO and 3 other fields | High correlation |
Inns is highly overall correlated with Lost and 3 other fields | High correlation |
Lost is highly overall correlated with Inns and 3 other fields | High correlation |
Mat is highly overall correlated with Inns and 3 other fields | High correlation |
Runs is highly overall correlated with HS and 4 other fields | High correlation |
W/L is highly overall correlated with AveRPO and 3 other fields | High correlation |
Won is highly overall correlated with AveRPW and 5 other fields | High correlation |
Tied is highly imbalanced (78.3%) | Imbalance |
NR is highly imbalanced (65.9%) | Imbalance |
Won has 99 (13.8%) zeros | Zeros |
Lost has 60 (8.4%) zeros | Zeros |
W/L has 99 (13.8%) zeros | Zeros |
LS has 224 (31.3%) zeros | Zeros |
Reproduction
| Analysis started | 2024-10-28 06:46:54.180565 |
|---|---|
| Analysis finished | 2024-10-28 06:47:21.532717 |
| Duration | 27.35 seconds |
| Software version | ydata-profiling v4.8.3 |
| Download configuration | config.json |
Team
Text
| Distinct | 105 |
|---|---|
| Distinct (%) | 14.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 45.3 KiB |
Length
| Max length | 12 |
|---|---|
| Median length | 10 |
| Mean length | 7.7076923 |
| Min length | 4 |
Characters and Unicode
| Total characters | 5511 |
|---|---|
| Distinct characters | 54 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 6 ? |
|---|---|
| Unique (%) | 0.8% |
Sample
| 1st row | Zimbabwe |
|---|---|
| 2nd row | Zimbabwe |
| 3rd row | Zimbabwe |
| 4th row | Zimbabwe |
| 5th row | Zimbabwe |
| Value | Count | Frequency (%) |
| pakistan | 20 | 2.4% |
| england | 19 | 2.3% |
| south | 19 | 2.3% |
| india | 19 | 2.3% |
| sri | 19 | 2.3% |
| indies | 19 | 2.3% |
| lanka | 19 | 2.3% |
| west | 19 | 2.3% |
| australia | 17 | 2.0% |
| bangladesh | 17 | 2.0% |
| Other values (110) | 648 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 889 | |
| n | 477 | 8.7% |
| i | 387 | 7.0% |
| e | 371 | 6.7% |
| r | 254 | 4.6% |
| l | 245 | 4.4% |
| t | 212 | 3.8% |
| d | 209 | 3.8% |
| s | 206 | 3.7% |
| o | 165 | 3.0% |
| Other values (44) | 2096 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5511 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| a | 889 | |
| n | 477 | 8.7% |
| i | 387 | 7.0% |
| e | 371 | 6.7% |
| r | 254 | 4.6% |
| l | 245 | 4.4% |
| t | 212 | 3.8% |
| d | 209 | 3.8% |
| s | 206 | 3.7% |
| o | 165 | 3.0% |
| Other values (44) | 2096 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5511 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| a | 889 | |
| n | 477 | 8.7% |
| i | 387 | 7.0% |
| e | 371 | 6.7% |
| r | 254 | 4.6% |
| l | 245 | 4.4% |
| t | 212 | 3.8% |
| d | 209 | 3.8% |
| s | 206 | 3.7% |
| o | 165 | 3.0% |
| Other values (44) | 2096 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5511 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| a | 889 | |
| n | 477 | 8.7% |
| i | 387 | 7.0% |
| e | 371 | 6.7% |
| r | 254 | 4.6% |
| l | 245 | 4.4% |
| t | 212 | 3.8% |
| d | 209 | 3.8% |
| s | 206 | 3.7% |
| o | 165 | 3.0% |
| Other values (44) | 2096 |
Mat
Real number (ℝ)
HIGH CORRELATION
| Distinct | 24 |
|---|---|
| Distinct (%) | 3.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.0741259 |
| Minimum | 1 |
|---|---|
| Maximum | 24 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 4 |
| median | 6 |
| Q3 | 9 |
| 95-th percentile | 16 |
| Maximum | 24 |
| Range | 23 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 4.2943307 |
|---|---|
| Coefficient of variation (CV) | 0.60704754 |
| Kurtosis | 1.1103929 |
| Mean | 7.0741259 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 1.1496313 |
| Sum | 5058 |
| Variance | 18.441276 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=24)
| Value | Count | Frequency (%) |
| 4 | 101 | |
| 5 | 95 | |
| 3 | 83 | |
| 6 | 78 | |
| 7 | 48 | 6.7% |
| 8 | 47 | 6.6% |
| 10 | 39 | 5.5% |
| 9 | 37 | 5.2% |
| 2 | 32 | 4.5% |
| 11 | 23 | 3.2% |
| Other values (14) | 132 |
| Value | Count | Frequency (%) |
| 1 | 19 | 2.7% |
| 2 | 32 | 4.5% |
| 3 | 83 | |
| 4 | 101 | |
| 5 | 95 | |
| 6 | 78 | |
| 7 | 48 | |
| 8 | 47 | |
| 9 | 37 | 5.2% |
| 10 | 39 | 5.5% |
| Value | Count | Frequency (%) |
| 24 | 2 | 0.3% |
| 23 | 1 | 0.1% |
| 22 | 1 | 0.1% |
| 21 | 4 | 0.6% |
| 20 | 1 | 0.1% |
| 19 | 2 | 0.3% |
| 18 | 9 | |
| 17 | 8 | |
| 16 | 11 | |
| 15 | 14 |
Won
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 18 |
|---|---|
| Distinct (%) | 2.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.4111888 |
| Minimum | 0 |
|---|---|
| Maximum | 20 |
| Zeros | 99 |
| Zeros (%) | 13.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 3 |
| Q3 | 5 |
| 95-th percentile | 9 |
| Maximum | 20 |
| Range | 20 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.9997924 |
|---|---|
| Coefficient of variation (CV) | 0.87939792 |
| Kurtosis | 2.4363237 |
| Mean | 3.4111888 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 1.348823 |
| Sum | 2439 |
| Variance | 8.9987542 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=18)
| Value | Count | Frequency (%) |
| 2 | 120 | |
| 1 | 116 | |
| 3 | 105 | |
| 0 | 99 | |
| 4 | 70 | |
| 5 | 57 | |
| 6 | 49 | |
| 7 | 30 | 4.2% |
| 9 | 22 | 3.1% |
| 8 | 14 | 2.0% |
| Other values (8) | 33 | 4.6% |
| Value | Count | Frequency (%) |
| 0 | 99 | |
| 1 | 116 | |
| 2 | 120 | |
| 3 | 105 | |
| 4 | 70 | |
| 5 | 57 | |
| 6 | 49 | |
| 7 | 30 | 4.2% |
| 8 | 14 | 2.0% |
| 9 | 22 | 3.1% |
| Value | Count | Frequency (%) |
| 20 | 1 | 0.1% |
| 17 | 1 | 0.1% |
| 15 | 1 | 0.1% |
| 14 | 3 | 0.4% |
| 13 | 1 | 0.1% |
| 12 | 7 | 1.0% |
| 11 | 8 | 1.1% |
| 10 | 11 | |
| 9 | 22 | |
| 8 | 14 |
Lost
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 17 |
|---|---|
| Distinct (%) | 2.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.4111888 |
| Minimum | 0 |
|---|---|
| Maximum | 18 |
| Zeros | 60 |
| Zeros (%) | 8.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 3 |
| Q3 | 5 |
| 95-th percentile | 8 |
| Maximum | 18 |
| Range | 18 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.5456918 |
|---|---|
| Coefficient of variation (CV) | 0.74627702 |
| Kurtosis | 3.2452169 |
| Mean | 3.4111888 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 1.3436156 |
| Sum | 2439 |
| Variance | 6.4805469 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=17)
| Value | Count | Frequency (%) |
| 2 | 135 | |
| 3 | 133 | |
| 1 | 102 | |
| 4 | 88 | |
| 5 | 75 | |
| 0 | 60 | |
| 6 | 41 | 5.7% |
| 7 | 34 | 4.8% |
| 8 | 18 | 2.5% |
| 9 | 12 | 1.7% |
| Other values (7) | 17 | 2.4% |
| Value | Count | Frequency (%) |
| 0 | 60 | |
| 1 | 102 | |
| 2 | 135 | |
| 3 | 133 | |
| 4 | 88 | |
| 5 | 75 | |
| 6 | 41 | 5.7% |
| 7 | 34 | 4.8% |
| 8 | 18 | 2.5% |
| 9 | 12 | 1.7% |
| Value | Count | Frequency (%) |
| 18 | 1 | 0.1% |
| 17 | 1 | 0.1% |
| 14 | 1 | 0.1% |
| 13 | 1 | 0.1% |
| 12 | 4 | 0.6% |
| 11 | 5 | 0.7% |
| 10 | 4 | 0.6% |
| 9 | 12 | 1.7% |
| 8 | 18 | |
| 7 | 34 |
Tied
Categorical
IMBALANCE
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 40.6 KiB |
| 0 | |
|---|---|
| 1 | 55 |
| 2 | 2 |
| 3 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 715 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.1% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 657 | |
| 1 | 55 | 7.7% |
| 2 | 2 | 0.3% |
| 3 | 1 | 0.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 657 | |
| 1 | 55 | 7.7% |
| 2 | 2 | 0.3% |
| 3 | 1 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 657 | |
| 1 | 55 | 7.7% |
| 2 | 2 | 0.3% |
| 3 | 1 | 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 715 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 657 | |
| 1 | 55 | 7.7% |
| 2 | 2 | 0.3% |
| 3 | 1 | 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 715 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 657 | |
| 1 | 55 | 7.7% |
| 2 | 2 | 0.3% |
| 3 | 1 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 715 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 657 | |
| 1 | 55 | 7.7% |
| 2 | 2 | 0.3% |
| 3 | 1 | 0.1% |
NR
Categorical
IMBALANCE
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 40.6 KiB |
| 0 | |
|---|---|
| 1 | |
| 2 | 9 |
| 3 | 4 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 715 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 614 | |
| 1 | 88 | 12.3% |
| 2 | 9 | 1.3% |
| 3 | 4 | 0.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 614 | |
| 1 | 88 | 12.3% |
| 2 | 9 | 1.3% |
| 3 | 4 | 0.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 614 | |
| 1 | 88 | 12.3% |
| 2 | 9 | 1.3% |
| 3 | 4 | 0.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 715 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 614 | |
| 1 | 88 | 12.3% |
| 2 | 9 | 1.3% |
| 3 | 4 | 0.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 715 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 614 | |
| 1 | 88 | 12.3% |
| 2 | 9 | 1.3% |
| 3 | 4 | 0.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 715 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 614 | |
| 1 | 88 | 12.3% |
| 2 | 9 | 1.3% |
| 3 | 4 | 0.6% |
W/L
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 71 |
|---|---|
| Distinct (%) | 9.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.5403487 |
| Minimum | 0 |
|---|---|
| Maximum | 14 |
| Zeros | 99 |
| Zeros (%) | 13.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0.34313725 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 5 |
| Maximum | 14 |
| Range | 14 |
| Interquartile range (IQR) | 1.6568627 |
Descriptive statistics
| Standard deviation | 1.9359368 |
|---|---|
| Coefficient of variation (CV) | 1.2568172 |
| Kurtosis | 10.739538 |
| Mean | 1.5403487 |
| Median Absolute Deviation (MAD) | 0.66666667 |
| Skewness | 2.8017482 |
| Sum | 1101.3493 |
| Variance | 3.7478512 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 99 | |
| 1 | 87 | 12.2% |
| 2 | 54 | 7.6% |
| 0.5 | 52 | 7.3% |
| 3 | 39 | 5.5% |
| 0.6666666667 | 36 | 5.0% |
| 0.3333333333 | 33 | 4.6% |
| 1.5 | 30 | 4.2% |
| 4 | 27 | 3.8% |
| 5 | 18 | 2.5% |
| Other values (61) | 240 |
| Value | Count | Frequency (%) |
| 0 | 99 | |
| 0.1111111111 | 1 | 0.1% |
| 0.125 | 2 | 0.3% |
| 0.1428571429 | 2 | 0.3% |
| 0.1666666667 | 6 | 0.8% |
| 0.1818181818 | 1 | 0.1% |
| 0.2 | 15 | 2.1% |
| 0.25 | 15 | 2.1% |
| 0.2857142857 | 4 | 0.6% |
| 0.3 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 14 | 3 | 0.4% |
| 11 | 2 | 0.3% |
| 10 | 3 | 0.4% |
| 9 | 6 | 0.8% |
| 7 | 5 | 0.7% |
| 6 | 12 | |
| 5.5 | 2 | 0.3% |
| 5 | 18 | |
| 4.25 | 1 | 0.1% |
| 4 | 27 |
Runs
Real number (ℝ)
HIGH CORRELATION
| Distinct | 560 |
|---|---|
| Distinct (%) | 78.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 948.46294 |
| Minimum | 0 |
|---|---|
| Maximum | 3902 |
| Zeros | 1 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 222 |
| Q1 | 474.5 |
| median | 739 |
| Q3 | 1298.5 |
| 95-th percentile | 2257.3 |
| Maximum | 3902 |
| Range | 3902 |
| Interquartile range (IQR) | 824 |
Descriptive statistics
| Standard deviation | 635.41473 |
|---|---|
| Coefficient of variation (CV) | 0.66994155 |
| Kurtosis | 0.98060821 |
| Mean | 948.46294 |
| Median Absolute Deviation (MAD) | 343 |
| Skewness | 1.1466216 |
| Sum | 678151 |
| Variance | 403751.88 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 631 | 5 | 0.7% |
| 756 | 4 | 0.6% |
| 392 | 4 | 0.6% |
| 508 | 3 | 0.4% |
| 362 | 3 | 0.4% |
| 1468 | 3 | 0.4% |
| 279 | 3 | 0.4% |
| 536 | 3 | 0.4% |
| 517 | 3 | 0.4% |
| 421 | 3 | 0.4% |
| Other values (550) | 681 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 72 | 1 | |
| 73 | 1 | |
| 98 | 1 | |
| 99 | 1 | |
| 100 | 1 | |
| 101 | 2 | |
| 103 | 1 | |
| 108 | 1 | |
| 124 | 1 |
| Value | Count | Frequency (%) |
| 3902 | 1 | |
| 3045 | 1 | |
| 3035 | 1 | |
| 2967 | 1 | |
| 2871 | 1 | |
| 2830 | 1 | |
| 2806 | 1 | |
| 2788 | 1 | |
| 2784 | 1 | |
| 2758 | 1 |
Inns
Real number (ℝ)
HIGH CORRELATION
| Distinct | 25 |
|---|---|
| Distinct (%) | 3.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.9958042 |
| Minimum | 0 |
|---|---|
| Maximum | 24 |
| Zeros | 1 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 4 |
| median | 6 |
| Q3 | 9 |
| 95-th percentile | 16 |
| Maximum | 24 |
| Range | 24 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 4.261578 |
|---|---|
| Coefficient of variation (CV) | 0.60916198 |
| Kurtosis | 1.0897162 |
| Mean | 6.9958042 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 1.1505295 |
| Sum | 5002 |
| Variance | 18.161047 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=25)
| Value | Count | Frequency (%) |
| 4 | 99 | |
| 5 | 98 | |
| 3 | 84 | |
| 6 | 84 | |
| 8 | 44 | 6.2% |
| 7 | 42 | 5.9% |
| 9 | 39 | 5.5% |
| 10 | 39 | 5.5% |
| 2 | 35 | 4.9% |
| 13 | 24 | 3.4% |
| Other values (15) | 127 |
| Value | Count | Frequency (%) |
| 0 | 1 | 0.1% |
| 1 | 18 | 2.5% |
| 2 | 35 | 4.9% |
| 3 | 84 | |
| 4 | 99 | |
| 5 | 98 | |
| 6 | 84 | |
| 7 | 42 | |
| 8 | 44 | |
| 9 | 39 | 5.5% |
| Value | Count | Frequency (%) |
| 24 | 1 | 0.1% |
| 23 | 2 | 0.3% |
| 22 | 1 | 0.1% |
| 21 | 2 | 0.3% |
| 20 | 3 | 0.4% |
| 19 | 1 | 0.1% |
| 18 | 10 | |
| 17 | 7 | |
| 16 | 10 | |
| 15 | 16 |
HS
Real number (ℝ)
HIGH CORRELATION
| Distinct | 175 |
|---|---|
| Distinct (%) | 24.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 175.27972 |
| Minimum | 0 |
|---|---|
| Maximum | 344 |
| Zeros | 1 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 105.7 |
| Q1 | 150 |
| median | 177 |
| Q3 | 200 |
| 95-th percentile | 239 |
| Maximum | 344 |
| Range | 344 |
| Interquartile range (IQR) | 50 |
Descriptive statistics
| Standard deviation | 39.968196 |
|---|---|
| Coefficient of variation (CV) | 0.22802521 |
| Kurtosis | 1.0538091 |
| Mean | 175.27972 |
| Median Absolute Deviation (MAD) | 24 |
| Skewness | -0.19206761 |
| Sum | 125325 |
| Variance | 1597.4567 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 176 | 14 | 2.0% |
| 180 | 14 | 2.0% |
| 185 | 13 | 1.8% |
| 175 | 12 | 1.7% |
| 158 | 11 | 1.5% |
| 174 | 11 | 1.5% |
| 132 | 10 | 1.4% |
| 206 | 10 | 1.4% |
| 199 | 10 | 1.4% |
| 181 | 10 | 1.4% |
| Other values (165) | 600 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 53 | 1 | |
| 57 | 1 | |
| 58 | 1 | |
| 60 | 1 | |
| 72 | 2 | |
| 73 | 1 | |
| 74 | 1 | |
| 75 | 1 | |
| 77 | 2 |
| Value | Count | Frequency (%) |
| 344 | 1 | 0.1% |
| 314 | 1 | 0.1% |
| 297 | 1 | 0.1% |
| 278 | 2 | |
| 268 | 1 | 0.1% |
| 267 | 1 | 0.1% |
| 263 | 1 | 0.1% |
| 260 | 1 | 0.1% |
| 259 | 1 | 0.1% |
| 258 | 3 |
LS
Real number (ℝ)
ZEROS
| Distinct | 145 |
|---|---|
| Distinct (%) | 20.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 67.629371 |
| Minimum | 0 |
|---|---|
| Maximum | 200 |
| Zeros | 224 |
| Zeros (%) | 31.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 79 |
| Q3 | 110 |
| 95-th percentile | 147 |
| Maximum | 200 |
| Range | 200 |
| Interquartile range (IQR) | 110 |
Descriptive statistics
| Standard deviation | 53.510527 |
|---|---|
| Coefficient of variation (CV) | 0.79123206 |
| Kurtosis | -1.2530017 |
| Mean | 67.629371 |
| Median Absolute Deviation (MAD) | 43 |
| Skewness | -0.029634821 |
| Sum | 48355 |
| Variance | 2863.3764 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 224 | |
| 95 | 11 | 1.5% |
| 101 | 10 | 1.4% |
| 111 | 9 | 1.3% |
| 97 | 9 | 1.3% |
| 127 | 9 | 1.3% |
| 94 | 8 | 1.1% |
| 102 | 7 | 1.0% |
| 114 | 7 | 1.0% |
| 76 | 7 | 1.0% |
| Other values (135) | 414 |
| Value | Count | Frequency (%) |
| 0 | 224 | |
| 10 | 2 | 0.3% |
| 18 | 1 | 0.1% |
| 21 | 1 | 0.1% |
| 23 | 1 | 0.1% |
| 24 | 1 | 0.1% |
| 26 | 1 | 0.1% |
| 29 | 1 | 0.1% |
| 30 | 4 | 0.6% |
| 33 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 200 | 1 | |
| 193 | 1 | |
| 192 | 1 | |
| 187 | 1 | |
| 185 | 1 | |
| 178 | 1 | |
| 174 | 1 | |
| 173 | 2 | |
| 172 | 1 | |
| 171 | 1 |
Season
Categorical
| Distinct | 21 |
|---|---|
| Distinct (%) | 2.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 43.7 KiB |
| 2024 | |
|---|---|
| 2022 | |
| 2023 | |
| 2023/24 | |
| 2021/22 | |
| Other values (16) |
Length
| Max length | 7 |
|---|---|
| Median length | 4 |
| Mean length | 5.434965 |
| Min length | 4 |
Characters and Unicode
| Total characters | 3886 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2018/19 |
|---|---|
| 2nd row | 2022/23 |
| 3rd row | 2017/18 |
| 4th row | 2015/16 |
| 5th row | 2022 |
Common Values
| Value | Count | Frequency (%) |
| 2024 | 83 | |
| 2022 | 72 | |
| 2023 | 65 | |
| 2023/24 | 61 | |
| 2021/22 | 57 | 8.0% |
| 2022/23 | 57 | 8.0% |
| 2019/20 | 53 | 7.4% |
| 2019 | 52 | 7.3% |
| 2021 | 40 | 5.6% |
| 2018/19 | 26 | 3.6% |
| Other values (11) | 149 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 2024 | 83 | |
| 2022 | 72 | |
| 2023 | 65 | |
| 2023/24 | 61 | |
| 2021/22 | 57 | 8.0% |
| 2022/23 | 57 | 8.0% |
| 2019/20 | 53 | 7.4% |
| 2019 | 52 | 7.3% |
| 2021 | 40 | 5.6% |
| 2018/19 | 26 | 3.6% |
| Other values (11) | 149 |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 1644 | |
| 0 | 791 | |
| 1 | 424 | 10.9% |
| / | 342 | 8.8% |
| 3 | 183 | 4.7% |
| 4 | 173 | 4.5% |
| 9 | 131 | 3.4% |
| 5 | 65 | 1.7% |
| 8 | 53 | 1.4% |
| 6 | 43 | 1.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 3886 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 2 | 1644 | |
| 0 | 791 | |
| 1 | 424 | 10.9% |
| / | 342 | 8.8% |
| 3 | 183 | 4.7% |
| 4 | 173 | 4.5% |
| 9 | 131 | 3.4% |
| 5 | 65 | 1.7% |
| 8 | 53 | 1.4% |
| 6 | 43 | 1.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 3886 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 2 | 1644 | |
| 0 | 791 | |
| 1 | 424 | 10.9% |
| / | 342 | 8.8% |
| 3 | 183 | 4.7% |
| 4 | 173 | 4.5% |
| 9 | 131 | 3.4% |
| 5 | 65 | 1.7% |
| 8 | 53 | 1.4% |
| 6 | 43 | 1.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 3886 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 2 | 1644 | |
| 0 | 791 | |
| 1 | 424 | 10.9% |
| / | 342 | 8.8% |
| 3 | 183 | 4.7% |
| 4 | 173 | 4.5% |
| 9 | 131 | 3.4% |
| 5 | 65 | 1.7% |
| 8 | 53 | 1.4% |
| 6 | 43 | 1.1% |
AveRPW
Real number (ℝ)
HIGH CORRELATION
| Distinct | 604 |
|---|---|
| Distinct (%) | 84.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 21.841049 |
| Minimum | 0 |
|---|---|
| Maximum | 139 |
| Zeros | 1 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 9.877 |
| Q1 | 16.365 |
| median | 20.8 |
| Q3 | 25.76 |
| 95-th percentile | 36.033 |
| Maximum | 139 |
| Range | 139 |
| Interquartile range (IQR) | 9.395 |
Descriptive statistics
| Standard deviation | 9.4860309 |
|---|---|
| Coefficient of variation (CV) | 0.43432121 |
| Kurtosis | 34.268737 |
| Mean | 21.841049 |
| Median Absolute Deviation (MAD) | 4.63 |
| Skewness | 3.4459078 |
| Sum | 15616.35 |
| Variance | 89.984781 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 16.3 | 5 | 0.7% |
| 29.2 | 3 | 0.4% |
| 18.42 | 3 | 0.4% |
| 22.9 | 3 | 0.4% |
| 14.11 | 3 | 0.4% |
| 28.72 | 3 | 0.4% |
| 18.5 | 3 | 0.4% |
| 21.87 | 3 | 0.4% |
| 24.28 | 3 | 0.4% |
| 13.2 | 3 | 0.4% |
| Other values (594) | 683 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 3.35 | 1 | |
| 3.56 | 1 | |
| 4.04 | 1 | |
| 5 | 1 | |
| 5.31 | 1 | |
| 5.81 | 1 | |
| 6.05 | 1 | |
| 6.08 | 2 | |
| 6.15 | 1 |
| Value | Count | Frequency (%) |
| 139 | 1 | |
| 75.75 | 1 | |
| 64.46 | 1 | |
| 58.33 | 1 | |
| 54.85 | 1 | |
| 51.5 | 1 | |
| 51.23 | 1 | |
| 50.83 | 1 | |
| 50.5 | 1 | |
| 49.1 | 1 |
AveRPO
Real number (ℝ)
HIGH CORRELATION
| Distinct | 385 |
|---|---|
| Distinct (%) | 53.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.3296643 |
| Minimum | 0 |
|---|---|
| Maximum | 13.43 |
| Zeros | 1 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 4.744 |
| Q1 | 6.505 |
| median | 7.51 |
| Q3 | 8.275 |
| 95-th percentile | 9.37 |
| Maximum | 13.43 |
| Range | 13.43 |
| Interquartile range (IQR) | 1.77 |
Descriptive statistics
| Standard deviation | 1.4806197 |
|---|---|
| Coefficient of variation (CV) | 0.20200375 |
| Kurtosis | 1.5941745 |
| Mean | 7.3296643 |
| Median Absolute Deviation (MAD) | 0.87 |
| Skewness | -0.42839127 |
| Sum | 5240.71 |
| Variance | 2.1922346 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 7.28 | 7 | 1.0% |
| 8.51 | 7 | 1.0% |
| 7.01 | 6 | 0.8% |
| 7.95 | 6 | 0.8% |
| 7.02 | 6 | 0.8% |
| 8.27 | 6 | 0.8% |
| 7.55 | 6 | 0.8% |
| 7.43 | 6 | 0.8% |
| 7.72 | 5 | 0.7% |
| 7.82 | 5 | 0.7% |
| Other values (375) | 655 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 2.52 | 1 | |
| 2.67 | 1 | |
| 3.04 | 1 | |
| 3.12 | 1 | |
| 3.13 | 1 | |
| 3.2 | 1 | |
| 3.3 | 1 | |
| 3.42 | 1 | |
| 3.48 | 1 |
| Value | Count | Frequency (%) |
| 13.43 | 1 | |
| 12.82 | 1 | |
| 12.54 | 1 | |
| 11.75 | 1 | |
| 10.63 | 1 | |
| 10.51 | 1 | |
| 10.49 | 1 | |
| 10.44 | 1 | |
| 10.38 | 2 | |
| 10.32 | 1 |
| AveRPO | AveRPW | HS | Inns | LS | Lost | Mat | NR | Runs | Season | Tied | W/L | Won | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AveRPO | 1.000 | 0.856 | 0.792 | 0.153 | 0.024 | -0.302 | 0.155 | 0.040 | 0.405 | 0.140 | 0.000 | 0.553 | 0.455 |
| AveRPW | 0.856 | 1.000 | 0.683 | 0.167 | -0.143 | -0.356 | 0.166 | 0.000 | 0.390 | 0.167 | 0.000 | 0.669 | 0.535 |
| HS | 0.792 | 0.683 | 1.000 | 0.469 | 0.116 | 0.030 | 0.465 | 0.035 | 0.671 | 0.112 | 0.037 | 0.478 | 0.602 |
| Inns | 0.153 | 0.167 | 0.469 | 1.000 | 0.242 | 0.648 | 0.997 | 0.186 | 0.940 | 0.179 | 0.185 | 0.236 | 0.752 |
| LS | 0.024 | -0.143 | 0.116 | 0.242 | 1.000 | 0.295 | 0.246 | 0.069 | 0.258 | 0.070 | 0.156 | -0.096 | 0.099 |
| Lost | -0.302 | -0.356 | 0.030 | 0.648 | 0.295 | 1.000 | 0.646 | 0.054 | 0.517 | 0.083 | 0.039 | -0.526 | 0.061 |
| Mat | 0.155 | 0.166 | 0.465 | 0.997 | 0.246 | 0.646 | 1.000 | 0.225 | 0.936 | 0.169 | 0.179 | 0.236 | 0.750 |
| NR | 0.040 | 0.000 | 0.035 | 0.186 | 0.069 | 0.054 | 0.225 | 1.000 | 0.157 | 0.182 | 0.000 | 0.050 | 0.128 |
| Runs | 0.405 | 0.390 | 0.671 | 0.940 | 0.258 | 0.517 | 0.936 | 0.157 | 1.000 | 0.108 | 0.196 | 0.354 | 0.807 |
| Season | 0.140 | 0.167 | 0.112 | 0.179 | 0.070 | 0.083 | 0.169 | 0.182 | 0.108 | 1.000 | 0.000 | 0.016 | 0.138 |
| Tied | 0.000 | 0.000 | 0.037 | 0.185 | 0.156 | 0.039 | 0.179 | 0.000 | 0.196 | 0.000 | 1.000 | 0.045 | 0.125 |
| W/L | 0.553 | 0.669 | 0.478 | 0.236 | -0.096 | -0.526 | 0.236 | 0.050 | 0.354 | 0.016 | 0.045 | 1.000 | 0.775 |
| Won | 0.455 | 0.535 | 0.602 | 0.752 | 0.099 | 0.061 | 0.750 | 0.128 | 0.807 | 0.138 | 0.125 | 0.775 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| Team | Mat | Won | Lost | Tied | NR | W/L | Runs | Inns | HS | LS | Season | AveRPW | AveRPO | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Zimbabwe | 2 | 0 | 2 | 0 | 0 | 0.000000 | 258 | 2 | 132.0 | 126.0 | 2018/19 | 15.17 | 6.91 |
| 1 | Zimbabwe | 11 | 5 | 5 | 0 | 1 | 1.000000 | 1423 | 11 | 174.0 | 115.0 | 2022/23 | 16.94 | 7.13 |
| 2 | Zimbabwe | 2 | 0 | 2 | 0 | 0 | 0.000000 | 261 | 2 | 141.0 | 0.0 | 2017/18 | 18.64 | 6.52 |
| 3 | Zimbabwe | 15 | 5 | 10 | 0 | 0 | 0.500000 | 2257 | 15 | 190.0 | 127.0 | 2015/16 | 20.15 | 7.59 |
| 4 | Zimbabwe | 16 | 9 | 7 | 0 | 0 | 1.285714 | 2448 | 16 | 236.0 | 95.0 | 2022 | 22.45 | 7.75 |
| 5 | Zimbabwe | 17 | 8 | 9 | 0 | 0 | 0.888889 | 2476 | 17 | 217.0 | 82.0 | 2023/24 | 24.03 | 7.81 |
| 6 | Zimbabwe | 5 | 1 | 4 | 0 | 0 | 0.250000 | 734 | 5 | 175.0 | 0.0 | 2015 | 23.67 | 7.34 |
| 7 | Zimbabwe | 6 | 0 | 6 | 0 | 0 | 0.000000 | 853 | 6 | 156.0 | 148.0 | 2020/21 | 19.38 | 7.28 |
| 8 | Zimbabwe | 5 | 5 | 0 | 0 | 0 | 5.000000 | 1090 | 5 | 344.0 | 0.0 | 2024/25 | 43.60 | 12.82 |
| 9 | Zimbabwe | 6 | 3 | 3 | 0 | 0 | 1.000000 | 909 | 6 | 177.0 | 152.0 | 2019/20 | 24.56 | 7.98 |
| Team | Mat | Won | Lost | Tied | NR | W/L | Runs | Inns | HS | LS | Season | AveRPW | AveRPO | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 705 | Afghanistan | 13 | 7 | 6 | 0 | 0 | 1.166667 | 1813 | 13 | 189.0 | 0.0 | 2022 | 24.83 | 7.74 |
| 706 | Afghanistan | 5 | 2 | 2 | 0 | 1 | 1.000000 | 614 | 5 | 154.0 | 116.0 | 2023 | 17.54 | 6.69 |
| 707 | Afghanistan | 6 | 4 | 1 | 1 | 0 | 4.000000 | 896 | 6 | 184.0 | 0.0 | 2019/20 | 22.40 | 7.79 |
| 708 | Afghanistan | 5 | 5 | 0 | 0 | 0 | 5.000000 | 767 | 5 | 167.0 | 0.0 | 2018 | 23.24 | 7.92 |
| 709 | Afghanistan | 3 | 3 | 0 | 0 | 0 | 3.000000 | 624 | 3 | 278.0 | 0.0 | 2018/19 | 41.60 | 10.51 |
| 710 | Afghanistan | 10 | 10 | 0 | 0 | 0 | 10.000000 | 1619 | 10 | 233.0 | 0.0 | 2016/17 | 33.72 | 8.92 |
| 711 | Afghanistan | 4 | 2 | 2 | 0 | 0 | 1.000000 | 654 | 4 | 197.0 | 0.0 | 2019 | 25.15 | 8.17 |
| 712 | Afghanistan | 8 | 5 | 3 | 0 | 0 | 1.666667 | 1010 | 8 | 183.0 | 56.0 | 2024 | 18.36 | 7.04 |
| 713 | Afghanistan | 6 | 5 | 1 | 0 | 0 | 5.000000 | 959 | 6 | 210.0 | 0.0 | 2015 | 31.96 | 8.37 |
| 714 | Afghanistan | 17 | 12 | 5 | 0 | 0 | 2.400000 | 2784 | 17 | 215.0 | 160.0 | 2015/16 | 24.85 | 8.27 |